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3rd floor, Wolfson House, 4 Stephenson Way
University College London
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Miscellaneous Information

About me:

I'm currently a Research Associate at the Translational Imaging Group (TIG) within the Centre for Medical Image Computing (CMIC).

Before joining TIG I was a Research Associated in the Asclepios Project-Team led by Nicholas Ayache at INRIA Sophia Antipolis, France, and I spent two years as a research assistant in the LENITEM laboratory led by Dr.Giovanni B. Frisoni at the IRCCS San Giovanni di Dio Fatebenefratelli, Italy. I received my PhD in 2012 at the Asclepios Project-Team in Inria Sophia Antipolis, under the supervision of Xavier Pennec and co-supervised by Nicholas Ayache and Giovanni B. Frisoni.

Updated CV

 

Research activity:

My activity concerns the development and study of computational and statistical methods for the spatio-temporal analysis of biomedical images of the brain. I’m also interested in statistical analysis in clinical trials of disease modifying drugs. I'm currently editorial board member of Nature Scientific Report (Neurology Panel), and I worked as statistical consultant for the European clinical project Pharmacog. I was awarded in 2015 with the second ex-aequo prize for the ERCIM Cor Baayen Award.

My favourite research areas are:

 

  • Image non-linear registration:

I’m interested in the development and study of non-linear registration algorithms to reliably detect morphological changes. The figure below shows the parameters of the diffeomorphic transformation of longitudinal brain atrophy in Alzheimer's disease (left), and the associated spatio-temporal model of brain changes (right). We note that the registration model accurately describes the global brain atrophy, as well as the ventricular expansion and hippocampal atrophy.

LCClogDemons

 

  • Gaussian Processes for efficient spatio-temporal analysis:

I study learning algorithms for modeling and predicting spatio-temporal brain changes in patients. I proposed to model spatio-temporal variations of brain images as non-stationary and non-separable Gaussian Processes (left figure), parameterized by specific spatial and temporal parameters (red and green neighborhoods). This approach can reliably predict trajectories of atrophy as well as confidence bounds of the individual disease progression (right figure).

Non_stationary_model   Prediction-Hippo2

 

  • Statistical learning of multimodal image variation:

I develop learning algorithms for modeling the joint variation of multimodal imaging information, such as the brain atrophy measured in magnetic resonance images (MRIs), and the hypometabolism quantified by FDG-PET radiotracers. The figure shows that the non-local correlation between atrophy and hypomethabolism in Alzheimer's patients is identified by localised subcortical temporal atrophy and ventricular enlargement, a pattern mostly associated with the hypometabolism of the temporal/parietal cortex.

 

Components

 

LATEST NEWS:

Marco Lorenzi, Boris Gutman, Andre Altmann, Derrek P. Hibar, Neda Jahanshad, Daniel C. Alexander, Paul M. Thompson and Sebastien Ourselin. Linking Gene Pathways and Brain Atrophy in Alzheimer's Disease.

  • 03/2016. A new paper published on NeuroImage!

Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, Xavier Pennec. A Biophysical Model of Brain Deformation to Simulate and Analyse Longitudinal MRIs of Patients with Alzheimer's Disease.

Marco Lorenzi, Ivor J. Simpson, Alex F. Mendelson, Sjoerd B. Vos, M. Jorge Cardoso, Marc Modat, Jonathan M. Schott & Sebastien Ourselin. Multimodal Image Analysis in Alzheimer’s Disease via Statistical Modelling of Non-local Intensity Correlations.

Marco Lorenzi, Boris Gutman, Derrek Paul Hibar, Andre Altmann, Neda Jahanshad, Paul Thompson, Sebastien Ourselin. Partial Least Squares Modelling for Imaging-genetics in Alzheimer's Disease: Plausibility and Generalization.

Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander and Sebastien Ourselin. Modelling Non-Stationary and Non-Separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution.

  • 04/2015. A new paper accepted on NeuroImage. 

Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Regional Flux Analysis for Discovering and Quantifying Anatomical Changes: an Application to the Brain Morphometry in Alzheimer's Disease.

  • 03/2015. A new paper accepted at the international conference "Information Processing in Medical Imaging" (IPMI) 2015. 

Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander and Sebastien Ourselin. Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series.

 

 PUBLICATION LIST:

Last update: 04/2015, the up-to-date list of publications is available at my Google Scholar publication record.


Thesis

  • Marco Lorenzi. Deformation-based morphometry of the brain for the development of surrogate markers in Alzheimer's disease. Ph.D. Thesis, University of Nice Sophia Antipolis, December 2012.

Book Chapters and Proceedings

  • Marco Lorenzi and Xavier Pennec. Discrete Ladders for Parallel Transport in Transformation Groups with an Affine Connection Structure . Geometric Theory of Information. Springer, pp. 243-271, 2014.

Journal articles

  • Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, Xavier Pennec. A Biophysical Model of Brain Deformation to Simulate and Analyse Longitudinal MRIs of Patients with Alzheimer's Disease. NeuroImage, in press, 2016.

  • Marco Lorenzi, Ivor J. Simpson, Alex F. Mendelson, Sjoerd B. Vos, M. Jorge Cardoso, Marc Modat, Jonathan M. Schott & Sebastien Ourselin. Multimodal Image Analysis in Alzheimer’s Disease via Statistical Modelling of Non-local Intensity Correlations. Scientific Reports, in press, 2016

  • Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Regional Flux Analysis for Discovering and Quantifying Anatomical Changes: an Application to the Brain Morphometry in Alzheimer's Disease. NeuroImage,  115:224-34, 2015
  • David M. Cash, Chris Frost, Leonardo O. Iheme, Devrim Unay, Melek Kandemir, Jurgen Fripp, Olivier Salvado, Pierrick Bourgeat, Martin Reuter, Bruce Fischl, Marco Lorenzi, Giovanni B. Frisoni, Xavier Pennec, Ronald K. Pierson, Jeffrey L. Gunter, Matthew L. Senjem, Cli_ord R. Jack Jr., Nicolas Guizard, Vladimir S. Fonov, D. Louis Collins, Marc Modat, M. Jorge Cardoso, Kelvin K. Leung, Hongzhi Wang, Sandhitsu R. Das, Paul A. Yushkevich, Ian B. Malone, Nick C. Fox, Jonathan M. Schott, Sebastien Ourselin. Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage, 123: 149-164, 2015.

  • Marco Lorenzi, Xavier Pennec,  Giovanni B. Frisoni, and Nicholas Ayache. Disentangling Normal Aging from Alzheimer’s Disease in Structural MR Images. Neurobiology of Aging, 2015 Jan;36 Suppl 1:S42-52.
  • Preti A., Muscio C., Boccardi M., Marco Lorenzi, de Girolamo G., Frisoni G.B. Impact of alcohol consumption in healthy adults: A magnetic resonance imaging investigation. Psychiatry Res, Volume 224, Issue 2, 30 November 2014, Pages 96–103.
  • Marco Lorenzi, Nicholas Ayache, Giovanni B. Frisoni, and Xavier Pennec. LCC-Demons: a robust and accurate symmetric diffeomorphic registration algorithm. NeuroImage, 81(1):470-483, 2013.
  • Marco Lorenzi and Xavier Pennec. Efficient Parallel Transport of Deformations in Time Series of Images: from Schild's to Pole Ladder. Journal of Mathematical Imaging and Vision, 50 (1-2): 5-17 (2014).
  • Marco Lorenzi and Xavier Pennec. Geodesics, Parallel Transport & One-parameter Subgroups for Diffeomorphic Image Registration. International Journal of Computer Vision, 105(2):111-127, November 2013.
  • Roberta Rossi, Michela Pievani, Marco Lorenzi, Marina Boccardi, Rossella Beneduce, Stefano Bignotti, Genoveffa Borsci, Maria Cotelli, Panteleimon Giannakopoulos, Laura R. Magni, Luciana Rillosi, Sandra Rosini, Giuseppe Rossi, and Giovanni B. Frisoni. Structural brain features of borderline personality and bipolar disorders. Psychiatry Research: Neuroimaging, 12:S0925-4927, 2012.
  • Marco Lorenzi, Alberto Beltramello, Nicola Mercuri, Elisa Canu, Giada Zoccatelli, Francesca Pizzini, Franco Alessandrini, Maria Cotelli, Sandra Rosini, Daniela Costardi, Carlo Caltagirone, and Giovanni B. Frisoni. Effect of memantine on resting state default mode network activity in Alzheimer's disease. Drugs and Aging, 28(3):205-217, 2011.
  • Marco Lorenzi, Michael Donohue, Donata Paternico, Cristina Scarpazza, Susanne Ostrowitzki, Olivier Blin, Elaine Irving, and Giovanni B. Frisoni. Enrichment through biomarkers in clinical trials of Alzheimer's drugs in patients with mild cognitive impairment. Neurobiology of Aging, pp 1443-51, August 2010. Note: Special Issue on ADNI.
  • Anna Caroli, Marco Lorenzi, Cristina Geroldi, Flavio Nobili, Barbara Paghera, Matteo Bonetti, Maria Cotelli, Giovanni B. Frisoni. Metabolic Compensation and Depression in Alzheimer’s Disease.  Dement Geriatr Cogn Disord; 29:37–45, 2010.
  • Giovanni B. Frisoni, Marco Lorenzi, Anna Caroli, Nina Kemppainen, Kjell Nagren, and Juha O. Rinne.  In vivo mapping of amyloid toxicity in Alzheimer's diseas. Neurology, 72(17): 1504-1511, 2009.

Peer-reviewed Conference Papers

  • Marco Lorenzi, Boris Gutman, Derrek Paul Hibar, Andre Altmann, Neda Jahanshad, Paul Thompson, Sebastien Ourselin. Partial Least Squares Modelling for Imaging-genetics in Alzheimer's Disease: Plausibility and Generalization. IEEE International Symposium on Biomedical Imaging, 2016.
  • Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander and Sebastien Ourselin. Modelling Non-Stationary and Non-Separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution. 1st ICML Workshop on Machine Learning Meets Medical Imaging.
  • Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander and Sebastien Ourselin. Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series. Proceedings of Information Processing in Medical Imaging, 2015, in Press.
  • Boris Gutman, Thomas Fletcher, M. Jorge Cardoso, Greg Fleishman, Marco Lorenzi, Paul Thompson and Sebastien Ourselin. A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Surfaces.  Proceedings of Information Processing in Medical Imaging, 2015, in Press.
  • Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. A Biophysical Model of Shape Changes due to Atrophy in the Brain with Alzheimer's Disease. In MICCAI, Boston, USA, September 2014. Springer.
  • Marco Lorenzi, Bjoern Menze, H., Marc Niethammer, Nicholas Ayache, and Xavier Pennec. Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields. In Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, and Nassir Navab, editors, Medical Image Computing and Computer Aided Intervention (MICCAI), volume 8150 of Lecture Notes in Computer Science - LNCS, Nagoya, Japon, pages 328-335, 2013. Springer.
  • Marco Lorenzi and Xavier Pennec. Parallel Transport with Pole Ladder: Application to Deformations of time Series of Images. In F. Nielsen and F. Barbaresco, editors, GSI2013 - Geometric Science of Information, volume 8085 of Lecture Notes in Computer Science - LNCS, Paris, France, pages 68-75, 2013. Springer.
  • Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Disentangling the normal aging from the pathological Alzheimer's disease progression on cross-sectional structural MR images. In MICCAI workshop on Novel Imaging Biomarkers for Alzheimer's Disease and Related Disorders (NIBAD'12), pages 145-154, October 2012. ISBN: 9781479261994.
  • Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Regional flux analysis of longitudinal atrophy in Alzheimer's disease. In Proceedings of Medical Image Computing and Computer Assisted Intervention 2012 (MICCAI), volume 7510 of LNCS, pages 739-746, October 2012. Springer, Heidelberg. ISBN: 978-3-642-33414-6.
  • Marco Lorenzi, Giovanni B. Frisoni, Nicholas Ayache, and Xavier Pennec. Probabilistic Flux Analysis of Cerebral Longitudinal Atrophy. In MICCAI workshop on Novel Imaging Biomarkers for Alzheimer's Disease and Related Disorders (NIBAD'12), pages 256-265, October 2012. ISBN: 9781479261994.
  • Marco Lorenzi, Nicholas Ayache, Giovanni B. Frisoni, and Xavier Pennec. Mapping the effects of Ab1-42 levels on the longitudinal changes in healthy aging: hierarchical modeling based on stationary velocity fields. In Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), volume 6892 of LNCS, pages 663-670, 2011. Springer.  
  • Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Schilds Ladder for the parallel transport of deformations in time series of images. In G. Szekely and H. Hahn, editors, Proceedings of Information Processing in Medical Imaging (IPMI'11), volume 6801 of LNCS, pages 463-474, 2011. Note: Honorable Mention (runner-up) for the Erbsmann Award.
  • Marco Lorenzi and Xavier Pennec. Geodesics, parallel transport & one-parameter subgroups. In 3rd MICCAI workshop on Mathematical Foundations of Computational Anatomy Workshop, September 2011.
  • Marco Lorenzi, Xavier Pennec, and Giovanni B. Frisoni. Monitoring the brain's longitudinal changes in clinical trials for Alzheimers disease: a robust and reliable non-rigid registration framework. In Alzheimer's Association 2011 International Conference on Alzheimer's Disease (AAICAD), 2011..
  • Xavier Pennec and Marco Lorenzi. Which parallel transport for the statistical analysis of longitudinal deformations?. In Colloque GRETSI '11, September 2011.
  • Marco Lorenzi, Nicholas Ayache, Giovanni B. Frisoni, and Xavier Pennec. 4D registration of serial brain MR's images: a robust measure of changes applied to Alzheimer's disease. In MICCAI Workshop on Spatio-Temporal Image Analysis for Longitudinal and Time-Series Image Data, Beijing, China, September 2010. Note: Best Oral Presentation award.

Oral Podium Presentations in Clinical Conferences

  • Marco Lorenzi, Nicholas Ayache, and Xavier Pennec. Regional flux analysis of longitudinal atrophy in Alzheimer's disease. In Alzheimer's Association International Conference (AAIC), Copenhagen, Denmark, 2014.
  • Marco Lorenzi, Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni. Disentangling the normal aging from the pathological Alzheimer's disease progression on cross-sectional structural MR images. International Conference on Clinical Trials on Alzheimer's Disease (CTAD), Monaco, 2012.
  • Marco Lorenzi, Michael Donohue, Donata Paternicò, Cristina Scarpazza, Susan Ostrowitzki, Olivier Blin, Elain Irving, Giovanni B. Frisoni. Enrichment through biomarkers in clinical trials of Alzheimer's drugs in patients with mild cognitive impairment. International Conference on Clinical Trials on Alzheimer's Disease (CTAD), Toulouse, 2010.     

Conference Abstracts

  • Marco Lorenzi, Martina Bocchetta, Nicholas Ayache, Xavier Pennec, and Giovanni B. Frisoni, Conversion to MCI in healthy individuals with abnormal CSF Ab42 levels is associated with specific longitudinal morphological changes. In Alzheimer's Association International Conference 2013, volume 9, issue 4 (supplement), Boston, USA, pages P596, July 2013.
  • Marco Lorenzi, Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni,  for the Alzheimer's Disease Neuroimaging Initiative (ADNI). Differentiating pathological brain atrophy from normal aging: a promising diagnostic tool for Alzheimer's disease. 2nd Virtual Physiological Human European Conference (VPH2012), London, September 2012.
  • Marco Lorenzi, Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni, for the Alzheimer's Disease Neuroimaging Initiative (ADNI). Disentangling the normal aging from the pathological Alzheimer's disease progression on structural MR images. 5th Clinical Trials in Alzheimer's Disease (CTAD'12), Monte Carlo, October 2012.
  • Marco Lorenzi, Nicholas Ayache, Giovanni B. Frisoni, and Xavier Pennec. Mapping the effects of Ab1-42 levels on the longitudinal changes in healthy aging: hierarchical modeling based on stationary velocity fields. In 12th International Stockholm/Springfield Symposium on Advances in Alzheimer Therapy. Stockholm,  May 2012.
  • Marco Lorenzi, Michael Donohue, Donata Paternico, Cristina Scarpazza, Susanne Ostrowitzki, Olivier Blin, Elaine Irving, and G. Frisoni. Enrichment through biomarkers in clinical trials of Alzheimer's drugs in patients with mild cognitive impairment. Clinical Trials on Alzheimer's Disease International Conference, Toulouse, November 2010.
  • Marco Lorenzi, Giovanni B. Frisoni, Nicholas Ayache, and Xavier Pennec. Mapping longitudinal changes in the brain affected by Alzheimer's disease. First VPH Conference (VPH2010), Brussels, September 2010
  • Marco Lorenzi, Alberto Beltramello, Nicola Mercuri, Elisa Canu, Giada Zoccatelli, Francesca Pizzini, Franco Alessandrini, Maria Cotelli, Sandra Rosini, Daniela Costardi, Carlo Caltagirone, and Giovanni B. Frisoni. Effect of memantine on resting state default mode network activity in Alzheimer's disease.  In Alzheimer's Association International Conference 2009, Wien, Austria.